温室 发表于 2025-3-25 05:38:41

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condescend 发表于 2025-3-25 07:44:14

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Priapism 发表于 2025-3-25 15:36:31

W. Steggemann,C. Krabbe-Steggemanntest dataset with a limited annotation budget. Previous approaches relied on deep ensemble models to identify highly informative instances for labeling, but fell short in dense recognition tasks like segmentation and object detection due to their high computational costs. In this work, we present Me

peak-flow 发表于 2025-3-25 18:14:21

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诱惑 发表于 2025-3-25 22:03:43

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浪费物质 发表于 2025-3-26 02:35:42

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Charitable 发表于 2025-3-26 06:41:53

https://doi.org/10.1007/978-3-662-47312-2age without relying on reference captions, bridging the gap between human judgment and machine-generated image captions. Experiments spanning several datasets demonstrate that our proposal achieves state-of-the-art results compared to existing reference-free evaluation scores. Our source code and trained models are publicly available at: ..

probate 发表于 2025-3-26 09:51:00

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INTER 发表于 2025-3-26 15:39:26

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诱拐 发表于 2025-3-26 19:16:00

ABDM und Schwangerschaftshypertonieout manually tuning the perturbation parameters; and a novel application of Gumbel-sigmoid reparameterization for efficiently learning Bernoulli-distributed binary masks under continuous optimization. Our experiments on problematic region detection and faithfulness tests demonstrate our method’s superiority over state-of-the-art UA methods.
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查看完整版本: Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic